LLM Anthropology is a personal, but not individualistic initiative.
The role of the founder is not to represent personal claims, but to hold an interpretive space in which human–LLM relations can be examined.
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The focus is not on what AI can do, but on how human thinking and responsibility are reshaped when these systems enter everyday practices.
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This position is intentionally situated at the intersection of research, dialogue, and applied interpretive work.
The professional background is interdisciplinary and does not follow the logic of a single field.
Anthropological thinking, qualitative analysis, and experience in educational and organizational contexts together enable LLMs to be examined not as technological objects, but as social phenomena.
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This background is particularly attentive to boundary areas where AI implicitly shapes decisions, norms, and interpretive frames.
The approach is grounded in interpretive and reflexive methods.
Rather than analyzing internal system mechanics, it focuses on how LLMs appear within human practices, what roles they take on, and what consequences follow.
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The aim is not prediction or optimization, but deepening understanding - especially where technological decisions carry ethical, cultural, or organizational implications.